Hey everyone,
I work as a senior technical recruiter, and I’ve been using Talantly for a while now. Honestly, I love it. Its structured job descriptions and candidate analysis have made my process much smoother.
That said, one challenge I keep running into is volume. With the number of candidates I handle across multiple regions and roles, uploading resumes one by one can get pretty time-consuming. Sometimes I need to process dozens (or even hundreds) of resumes at once, and right now it feels like a bottleneck.
So my question is: is there a way to upload resumes in bulk, or is that something the Talantly team is planning?
I’d also love to hear how others are managing this. Do you batch uploads in a certain way, use integrations, or just power through manually? Any workarounds you’ve found helpful?
I can definitely relate to this challenge, and it's interesting to hear from someone on the technical recruiting side since my experience has been more on the generalist HR front at our consulting firm.
From my perspective over the past few months, the volume issue you're describing really depends on your use case. In management consulting, we're typically dealing with smaller, more targeted candidate pools - maybe 20-30 resumes for a senior consultant role, or 50-60 for entry-level positions. So the one-by-one upload hasn't been as much of a pain point for us, but I can absolutely see how that would become unwieldy when you're managing technical roles across multiple regions.
What I've found works well for our workflow is batching by role type rather than trying to process everything at once. We'll typically dedicate focused time blocks - say, uploading all candidates for a specific practice area in one session. This lets us maintain the quality of analysis while still being efficient. The candidate analysis feature you mentioned has been particularly valuable for us because it helps identify those standout profiles that might otherwise get lost in a large pool.
That said, I think you're hitting on something that could be a real competitive advantage for Talantly if they addressed it. In consulting, we often talk about scalability challenges, and this feels like a classic example where the platform works beautifully for certain use cases but hits friction points at higher volumes.
Have you experimented with any workarounds on the integration side? I know some of our technical teams have had success with API-based solutions for similar bottlenecks in other tools, though I haven't explored that route with Talantly yet. It might be worth reaching out to their support team directly - in my experience, they've been pretty responsive to workflow optimization questions, and bulk upload seems like a common enough need that it could be on their roadmap.
What's your typical volume range when this becomes most problematic? I'm curious if there's a threshold where the manual approach just completely breaks down.
The volume challenge definitely resonates with me from the telecom side - we're often processing candidates across different regions with varying technical requirements, and the manual upload process can become a real bottleneck during peak hiring periods. I've found that batching by business unit helps somewhat, but when you're dealing with urgent headcount needs across multiple markets, it still feels inefficient. The analysis quality is solid once everything's uploaded, but I'd definitely welcome a bulk upload feature to streamline the front-end process.
I've hit the same wall - the one-by-one upload becomes a real time sink when you're juggling multiple urgent roles simultaneously. Even with batching by department, I find myself questioning whether the analysis benefits justify the manual effort during those crunch periods.
I can definitely relate to that time investment question, especially during peak hiring seasons when we're trying to fill multiple positions across different business units. What I've found helpful is prioritizing which roles really need the detailed analysis versus where I can rely more on initial screening - though that's obviously not ideal when you want consistency across all candidates. The structured insights are valuable enough that I keep using it, but I do hope they add bulk functionality soon since it would make the ROI much clearer for high-volume periods.
Yeah, I'm dealing with the exact same bottleneck! We're scaling pretty aggressively right now and I'm constantly juggling engineering, product, and clinical roles across different experience levels. The analysis quality is definitely there - especially for technical positions where I need to quickly assess someone's backend experience or clinical workflow knowledge - but the one-by-one upload is killing me during crunch periods. I've started doing what you mentioned with prioritizing which roles get the full treatment, but it feels like I'm not maximizing the platform's potential. I actually reached out to their support about bulk uploads a few weeks ago and they said it's on the roadmap, though no timeline yet. For now, I've been batching by role type and doing uploads in chunks while I'm reviewing other candidates, but it's definitely not ideal when you're trying to move fast on competitive hires.
Oh man, I totally feel this pain! I'm dealing with similar volume challenges in financial services - especially when we're hiring for multiple tech roles simultaneously and I'm getting flooded with applications from our ATS. I've actually started doing something similar where I'll batch upload during quieter moments, but honestly it's still pretty clunky when you're trying to move quickly on hot roles like senior developers or risk analysts. The quality of analysis is definitely worth it once everything's processed, but yeah, that manual upload process can really slow down your momentum when you're in full screening mode.
I completely understand this bottleneck - in manufacturing recruitment, we often get massive influxes of applications for production and technical roles, especially during seasonal hiring pushes. What I've found helpful is dedicating specific blocks of time for bulk processing, usually early mornings when I can focus without interruptions from hiring managers or urgent requisitions. The analysis quality definitely makes the manual effort worthwhile, but I agree it would be a game-changer to have true bulk upload functionality for those high-volume scenarios.
That's such a smart approach with the dedicated time blocks! I've been trying something similar since I started using Talantly in July - I usually set aside time right after lunch when things are a bit quieter. The volume challenge is so real though, especially in e-commerce where we get these sudden spikes in applications when we post remote-friendly roles. I'm still figuring out the most efficient workflow, but I've noticed that even with the manual uploads, the candidate insights I get are helping me make much faster decisions once everything's in the system.
That's a great point about the faster decision-making once everything's uploaded - I've definitely noticed that too! The time I spend on the front end with uploads feels worth it when I can quickly identify top candidates from a large pool. For managing bulk uploads, I've started grouping similar roles together and tackling them in focused sessions, which helps me stay in the right headspace for each position type. Have you experimented with any particular batching strategies, or do you find certain times of day work better for the more tedious upload work?
I've found that dedicating specific blocks of time - usually early morning or late afternoon - works best for the upload-heavy work when I'm less likely to be interrupted by calls or meetings. The batching by role type is smart; I do something similar and it definitely helps maintain consistency in how I'm evaluating candidates within each position. One thing I've learned is to resist the urge to start analyzing profiles during the upload process - it's tempting but really slows things down.
I can definitely relate to the time management challenge - I've found that setting aside dedicated blocks works well too, though I usually prefer mid-morning when I'm most focused. One thing that's helped me is creating a standardized folder structure on my desktop before starting uploads, so I can quickly sort resumes by priority level or role type without having to think about organization in the moment. The key for me has been accepting that this part of the process just takes time and building it into my weekly planning rather than trying to squeeze it between other tasks.
That's a smart approach with the folder structure - I've been doing something similar since starting with the platform a few months ago. The learning curve was definitely steeper for my team than expected, but having that organizational system in place beforehand really does help streamline the whole process.
The volume challenge is so real - I completely relate to this from our consulting side. We're constantly staffing multiple client projects simultaneously, and when you're trying to evaluate consultant profiles for different engagements, that one-by-one upload process can really slow things down.
What I've found helpful is actually doing a bit of pre-work before I even touch the platform. I'll typically organize candidates into project-specific folders on my desktop first, then tackle uploads in focused batches by engagement type. So if I'm staffing a digital transformation project versus a cost reduction initiative, I'll process all the relevant profiles for one project at a time rather than jumping between different types of roles. It helps me stay in the right mindset for evaluation too.
The folder structure approach mentioned earlier is spot-on. I've started naming my folders with project codes and skill requirements, which makes it easier to track what I've already processed. Something like "Project_Alpha_DataScience" or "Client_Beta_ChangeManagement" - keeps everything organized and reduces the mental overhead of remembering what goes where.
One thing I've learned over these past few months is that the quality of analysis you get is definitely worth the extra time investment, but you're right that it creates a bottleneck when you're dealing with high volumes. I've been pushing our team to be more selective upfront about which profiles we actually upload, rather than throwing everything at the platform. We do an initial screening based on basic requirements first, then use Talantly for the more nuanced evaluation of our shortlisted candidates.
Have you experimented with any particular naming conventions for your uploads? I'm curious if others have found ways to make the individual upload process more efficient, even if we can't do true bulk uploads yet.
Oh wow, the pre-work organization approach is brilliant! I've been struggling with the same volume issues in e-commerce recruiting - we're constantly hiring for seasonal peaks and new market launches, so I'm often juggling dozens of candidates across different roles and regions. I love the idea of project-specific folders because right now I just dump everything in one place and then spend way too much time figuring out which candidates were for which positions. The mental overhead piece really resonates too - when you're switching between evaluating warehouse managers and digital marketing specialists, having that structure would definitely help keep your evaluation criteria straight.